Some cosmetic changes, and the vignette created during package building.

git-svn-id: http://kriemhild.uft.uni-bremen.de/svn/chemCal@17 5fad18fb-23f0-0310-ab10-e59a3bee62b4

4 files changed, 48 insertions, 49 deletions

diff --git a/man/inverse.predict.Rd b/man/inverse.predict.Rd
index 925f3e9..6bea72c 100644
--- a/man/inverse.predict.Rd
+++ b/man/inverse.predict.Rd
@@ -59,15 +59,15 @@
   p. 200
 }
 \examples{
-  data(massart97ex3)
-  attach(massart97ex3)
-  yx <- split(y, x)
-  ybar <- sapply(yx, mean)
-  s <- round(sapply(yx, sd), digits = 2)
-  w <- round(1 / (s^2), digits = 3)
-  weights <- w[factor(x)]
-  m <- lm(y ~ x, w = weights)
+data(massart97ex3)
+attach(massart97ex3)
+yx <- split(y, x)
+ybar <- sapply(yx, mean)
+s <- round(sapply(yx, sd), digits = 2)
+w <- round(1 / (s^2), digits = 3)
+weights <- w[factor(x)]
+m <- lm(y ~ x, w = weights)
 
-  inverse.predict(m, 15, ws = 1.67) # 5.9 +- 2.5
+inverse.predict(m, 15, ws = 1.67) # 5.9 +- 2.5
 }
 \keyword{manip}
diff --git a/man/lod.Rd b/man/lod.Rd
index 055074c..e468e1d 100644
--- a/man/lod.Rd
+++ b/man/lod.Rd
@@ -69,13 +69,13 @@
   Analytica Chimica Acta 391, 105 - 126.
 }
 \examples{
-  data(din32645)
-  m <- lm(y ~ x, data = din32645)
-  lod(m) 
+data(din32645)
+m <- lm(y ~ x, data = din32645)
+lod(m) 
 
-  # The critical value (decision limit, German Nachweisgrenze) can be obtained
-  # by using beta = 0.5:
-  lod(m, alpha = 0.01, beta = 0.5)
+# The critical value (decision limit, German Nachweisgrenze) can be obtained
+# by using beta = 0.5:
+lod(m, alpha = 0.01, beta = 0.5)
 }
 \seealso{
   Examples for \code{\link{din32645}}  
diff --git a/man/loq.Rd b/man/loq.Rd
index 0250098..7541e77 100644
--- a/man/loq.Rd
+++ b/man/loq.Rd
@@ -63,13 +63,13 @@
     and therefore not tested. Feedback is welcome.
 }
 \examples{
-  data(massart97ex3)
-  attach(massart97ex3)
-  m <- lm(y ~ x)
-  loq(m)
+data(massart97ex3)
+attach(massart97ex3)
+m <- lm(y ~ x)
+loq(m)
 
-  # We can get better by using replicate measurements
-  loq(m, n = 3)
+# We can get better by using replicate measurements
+loq(m, n = 3)
 }
 \seealso{
   Examples for \code{\link{din32645}}  
diff --git a/man/massart97ex3.Rd b/man/massart97ex3.Rd
index e7cd383..efdcf02 100644
--- a/man/massart97ex3.Rd
+++ b/man/massart97ex3.Rd
@@ -11,38 +11,37 @@
   observations of y for each level.
 }
 \examples{
-  data(massart97ex3)
-  attach(massart97ex3)
-  yx <- split(y, x)
-  ybar <- sapply(yx, mean)
-  s <- round(sapply(yx, sd), digits = 2)
-  w <- round(1 / (s^2), digits = 3)
-  weights <- w[factor(x)]
-  m <- lm(y ~ x, w = weights)
-  calplot(m)
+data(massart97ex3)
+attach(massart97ex3)
+yx <- split(y, x)
+ybar <- sapply(yx, mean)
+s <- round(sapply(yx, sd), digits = 2)
+w <- round(1 / (s^2), digits = 3)
+weights <- w[factor(x)]
+m <- lm(y ~ x, w = weights)
+calplot(m)
 
-  # The following concords with the book p. 200
-  inverse.predict(m, 15, ws = 1.67)  # 5.9 +- 2.5
-  inverse.predict(m, 90, ws = 0.145) # 44.1 +- 7.9
+# The following concords with the book p. 200
+inverse.predict(m, 15, ws = 1.67)  # 5.9 +- 2.5
+inverse.predict(m, 90, ws = 0.145) # 44.1 +- 7.9
 
-  # The LOD is only calculated for models from unweighted regression
-  # with this version of chemCal
-  m0 <- lm(y ~ x) 
-  lod(m0)
+# The LOD is only calculated for models from unweighted regression
+# with this version of chemCal
+m0 <- lm(y ~ x) 
+lod(m0)
 
-  # Limit of quantification from unweighted regression
-  m0 <- lm(y ~ x)
-  loq(m0)
+# Limit of quantification from unweighted regression
+loq(m0)
 
-  # For calculating the limit of quantification from a model from weighted
-  # regression, we need to supply weights, internally used for inverse.predict
-  # If we are not using a variance function, we can use the weight from
-  # the above example as a first approximation (x = 15 is close to our
-  # loq approx 14 from above).
-  loq(m, w.loq = 1.67)
-  # The weight for the loq should therefore be derived at x = 7.3 instead
-  # of 15, but the graphical procedure of Massart (p. 201) to derive the 
-  # variances on which the weights are based is quite inaccurate anyway. 
+# For calculating the limit of quantification from a model from weighted
+# regression, we need to supply weights, internally used for inverse.predict
+# If we are not using a variance function, we can use the weight from
+# the above example as a first approximation (x = 15 is close to our
+# loq approx 14 from above).
+loq(m, w.loq = 1.67)
+# The weight for the loq should therefore be derived at x = 7.3 instead
+# of 15, but the graphical procedure of Massart (p. 201) to derive the 
+# variances on which the weights are based is quite inaccurate anyway. 
 }
 \source{
   Massart, L.M, Vandenginste, B.G.M., Buydens, L.M.C., De Jong, S., Lewi, P.J.,